Results 151 to 160 of about 1,163,174 (254)

Lipopolysaccharide uptake is augmented in lipopolysaccharide‐tolerant mouse macrophage‐like cells via increased CD14 expression

FEBS Open Bio, EarlyView.
In normal (nontolerant) cells, CD14 is crucial for both LPS uptake and LPS signaling. In LPS‐tolerant cells, in which LPS‐induced TNF‐α and IFN‐β production is suppressed, there is a dramatic increase in surface CD14 expression. The overexpressed CD14 in LPS‐tolerant cells is responsible for the enhanced LPS uptake without inducing pro‐inflammatory ...
Saeka Nishihara, Takayuki Manabe, Mika Jouta, Kiyoshi Kawasaki   +3 more
wiley   +1 more source

The predictive value of polygenic risk scores for depression in gene-environment interaction studies: a systematic review. [PDF]

Transl Psychiatry
Illius S, Eder J, Vogel S, Alexander N.
europepmc   +1 more source

Cyclic azapeptide CD36 ligand attenuates cardiac injury and reduces long‐chain fatty acid accumulation after myocardial ischemia–reperfusion in mice

FEBS Open Bio, EarlyView.
In a murine model of myocardial ischemia and reperfusion (MI/R), the CD36 azapeptide ligand MPE‐298 reduces cardiac injury and transiently lowers left ventricular long‐chain fatty acids (LCFAs) accumulation 3 h after reperfusion, accompanied by a decrease of oxidative stress and inflammation‐associated genes' expression in the heart and adipose tissue.
Jade Gauvin, Naghme Radmannia, David N. Huynh, Liliane Ménard, Caroline Daneault, Maïté Veilleux, Ahsanullah Ahsanullah, André C. Carpentier, William D. Lubell, Matthieu Ruiz, Huy Ong, Sylvie Marleau, Simon‐Pierre Gravel   +12 more
wiley   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Prenatal Exposure to Artificial Light at Night and the Offspring's First 1000-Day Growth: A Prospective Metabolomic and Gene-Environment Interaction Study. [PDF]

Environ Sci Technol
Jiang W, Han A, Huang Y, Yuan Z, Xu J, Zhang J.   +5 more
europepmc   +1 more source

The crystal structure of the Borrelia burgdorferi nicotinamidase BBE22 resolves a long‐standing annotation error

FEBS Open Bio, EarlyView.
The crystal structure of Borrelia burgdorferi nicotinamidase (PncA/BBE22) reveals the correct full‐length protein initiated from a non‐canonical AUU start codon. The structure validates previous biochemical findings and resolves a long‐standing annotation error, demonstrating that the truncated database sequence is structurally incompatible with the ...
Kalvis Brangulis
wiley   +1 more source

Pathway polygenic risk scores (pPRS) for the analysis of gene-environment interaction. [PDF]

PLoS Genet
Gauderman WJ, Fu Y, Queme B, Kawaguchi E, Wang Y, Morrison J, Brenner H, Chan A, Gruber SB, Keku T, Li L, Moreno V, Pellatt AJ, Peters U, Samadder NJ, Schmit SL, Ulrich CM, Um C, Wu A, Lewinger JP, Drew DA, Mi H.   +21 more
europepmc   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Gene-Environment Interaction Affects Risk of Atopic Eczema: Population and In Vitro Studies. [PDF]

Allergy
Standl M, Budu-Aggrey A, Johnston LJ, Elias MS, Arshad SH, Bager P, Bataille V, Blakeway H, Bønnelykke K, Boomsma D, Brumpton BM, Bustamante Pineda M, Campbell A, Curtin JA, Eliasen A, Fadista JPS, Feenstra B, Gerner T, Medina-Gomez C, Grosche S, Gutzkow KB, Halling AS, Hayward C, Henderson J, Herrera-Luis E, Holloway JW, Hottenga J, O'B Hourihane J, Hu C, Hveem K, Irizar A, Jacquemin B, Jessen L, Kress S, Kurukulaaratchy RJ, Lau S, Llop S, Løset M, Marenholz I, Mason D, McCartney DL, Melbye M, Melén E, Minica C, Murray CS, Nijsten T, Pardo LM, Pasmans S, Pennell CE, Rinnov MR, Santorelli G, Schikowski T, Sheehan D, Simpson A, Söderhäll C, Thomas LF, Thyssen JP, Torrent M, van Beijsterveldt T, Visconti A, Vonk JM, Wang CA, Xu CJ, Ziyab AH, UK Translational Research Network in Dermatology, BIOMAP Consortium, Custovic A, Di Meglio P, Duijts L, Flohr C, Irvine AD, Koppelman GH, Lee YA, Reynolds NJ, Smith C, Langan SM, Paternoster L, Brown SJ.   +77 more
europepmc   +1 more source

Gene-environment interaction analysis under the Cox model. [PDF]

Ann Inst Stat Math, 2023
Fang K, Li J, Xu Y, Ma S, Zhang Q.
europepmc   +1 more source